Cross-Stack Visibility and Control: Leveraging Big Data to Make Better, Contextual Decisions - Evanios

Cross-Stack Visibility and Control: Leveraging Big Data to Make Better, Contextual Decisions


There’s a big problem with digging a hole. Dig deep, and you can’t see over the top. Then the rain comes, and you drown.

IT spends a lot of time digging holes. There’s one hole for applications, another for networks, another one for databases, yet another for storage, and so on. And, that’s just for infrastructure stacks. There are even more holes for ITSM processes, such as incident management, change management and the CMDB. No one can see the end-to-end picture, and when things go wrong, the holes fill up with a deluge of events. There’s no way to keep your head above water.

Or is there? Yes, there is. Stop digging and let Evanios do the work. Instead of trying to manage each stack individually, you’ll get cross-stack visibility and control. What does that mean? You see the overall context, fix service issues more quickly, and make better decisions. It’s as simple as that.

Turning a deluge into a trickle

Let’s look at a typical example – a network issue. Not just a straightforward issue, like an interface down, but a complicated one due to an incorrectly reconfigured router. Of course, the network is affected. In fact, the symptoms cascade across your network. However, that’s just the start. Pretty soon, your servers start to complain, along with dozens of different applications. All heck breaks loose, with each hole filling up faster than you can drain it. We’re talking mass casualties here, with individual infrastructure teams pointing fingers in the war room, while your customers silently fume – or perhaps not so silently.

With cross-stack visibility, it’s a completely different picture. Instead of a torrent of disconnected events from multiple monitoring systems, you get one actionable alert telling you there is a network issue. Every other event is just noise, and is neatly grouped under the root network issue. In fact, most of the noise is eliminated before you even see it, so you’ve got a clean and clear signal telling you what’s going on. Now you can fix the issue, rather than arguing about who is to blame.

How is this possible? Well, instead of dealing with a flood of events from multiple monitoring tools, all of that information is deduplicated, filtered and correlated in your event management system. But it’s more than that. By bringing in relationship data from the CMDB – remember, ITSM data is yet another stack – Evanios understands how symptoms cascade across your IT infrastructure and services, tracing back to the root cause in real time. It can even identify that a change was the likely culprit by looking at your change management information.

Focus on what’s important

Okay, we’ve talked about a single infrastructure issue. If only life were so simple. In the real world, your team juggles dozens of balls at the same time. How do you prioritize? Without context, an event is just an event. Again, cross-stack visibility is the answer. Using machine learning, histories of similar incidents, impact prediction, and service context, and Evanios automatically scores your events, so you spend your time working on what matters. Without cross-stack visibility, that just isn’t possible.

No more false alarms

Let’s look at another example – integrating knowledge of change windows. You know that making a change can cause temporary service issues. That’s normal. It’s why we have change windows in the first place. However, here’s the problem. Without cross-stack visibility, your infrastructure teams don’t know that it’s normal. Alarm bells ring, and everyone tries to solve a non-existent issue. That’s why Evanios automatically analyzes change requests, and suppresses related events that occur during a change window.

From reactive to proactive

Finally, let’s talk about the future. How do you prevent service outages, rather than just scrambling to fix them once they happen? With cross-stack visibility, you can get ahead of the curve, fixing potential issues before they impact your customers. Here’s why. Often, failures don’t just happen out of the blue. Instead, there are subtle signs that an outage is likely to occur in future. Evanios uses machine learning to identify these patterns in real time, looking across all of your infrastructure stacks. It even predicts the likelihood and severity, based on looking at historical incident data. The result? You get advance warning of potentially serious service issues, so you act before your customers are affected.

To find out more about how Evanios gives you visibility and control across your entire IT environment, contact us for a demo.

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